default_weights_path

<p>The default path for EWSNet model weights to use. Is the location of the EWSmethods package. If you'd like to instead set your own path, <code>ewsnet_reset()</code> contains the argument <code>weights_path</code> to do so.</p>

Rolling and expanding window approaches to assessing abundance based early warning signals, non-equilibrium resilience measures, and machine learning. See Dakos et al. (2012) <doi:10.1371/journal.pone.0041010>, Deb et al. (2022) <doi:10.1098/rsos.211475>, Drake and Griffen (2010) <doi:10.1038/nature09389>, Ushio et al. (2018) <doi:10.1038/nature25504> and Weinans et al. (2021) <doi:10.1038/s41598-021-87839-y> for methodological details. Graphical presentation of the outputs are also provided for clear and publishable figures. Visit the 'EWSmethods' website for more information, and tutorials.

Duncan O'Brien

EWSmethods

Forecasting Tipping Points at the Community Level

Smita Deb

Sahil Sidheekh

Narayanan Krishnan

Partha Dutta

Christopher Clements

default_weights_path function

Path to Model Weights — default_weights_path

Path to Model Weights

default_weights_path: Path to Model Weights

Description

Usage

Arguments

Value